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Provides functions that (1) fit multivariate discrete distributions, (2) generate random numbers from multivariate discrete distributions, and (3) run regression and penalized regression on the multivariate categorical response data. Implemented models include: multinomial logit model, Dirichlet multinomial model, generalized Dirichlet multinomial model, and negative multinomial model. Making the best of the minorization-maximization (MM) algorithm and Newton-Raphson method, we derive and implement stable and efficient algorithms to find the maximum likelihood estimates. On a multi-core machine, multi-threading is supported.

copied from cf-staging / r-mglm
Type Size Name Uploaded Downloads Labels
conda 469.5 kB | noarch/r-mglm-0.2.0-r41hc72bb7e_2.tar.bz2  3 years and 9 months ago 2093 main
conda 468.7 kB | noarch/r-mglm-0.2.0-r40hc72bb7e_2.tar.bz2  3 years and 9 months ago 2112 main
conda 468.2 kB | noarch/r-mglm-0.2.0-r40h6115d3f_2.tar.bz2  4 years and 9 months ago 2921 main
conda 409.0 kB | noarch/r-mglm-0.2.0-r36h6115d3f_2.tar.bz2  4 years and 9 months ago 2931 main
conda 407.6 kB | noarch/r-mglm-0.2.0-r35h6115d3f_1.tar.bz2  5 years and 7 months ago 3732 main cf202003
conda 409.6 kB | noarch/r-mglm-0.2.0-r36h6115d3f_1.tar.bz2  5 years and 7 months ago 3768 main cf202003
conda 407.8 kB | noarch/r-mglm-0.2.0-r351h6115d3f_0.tar.bz2  5 years and 7 months ago 3749 main cf202003

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